Red Hat Security Advisory: Red Hat AI Inference Server Model Optimization Tools 3.3.5 (CUDA)
Multiple security vulnerabilities have been identified in Red Hat AI Inference Server Model Optimization Tools 3.3.5 (CUDA). These vulnerabilities cover a range of common weakness enumerations including code injection, deserialization issues, integer overflow, and others. No official fix or patch has been provided yet by Red Hat. The advisory lists 17 CVEs associated with this product. The severity is assessed as high based on the nature of the vulnerabilities and the advisory classification.
AI Analysis
Technical Summary
Red Hat AI Inference Server Model Optimization Tools 3.3.5 (CUDA) is affected by multiple security vulnerabilities identified under CVE-2025-14926 and 16 additional CVEs. These vulnerabilities involve various CWEs such as CWE-94 (Code Injection), CWE-502 (Deserialization of Untrusted Data), CWE-190 (Integer Overflow), CWE-78 (OS Command Injection), and others, indicating a broad spectrum of potential security issues. The Red Hat advisory RHSA-2026:30078 acknowledges these vulnerabilities but does not currently provide any fixes or patches. The product is not a cloud service, so remediation depends on vendor updates. No known exploits in the wild have been reported at this time.
Potential Impact
The vulnerabilities collectively pose a high risk to systems running Red Hat AI Inference Server Model Optimization Tools 3.3.5 (CUDA). Potential impacts include unauthorized code execution, privilege escalation, denial of service, and other security breaches depending on the specific CWE involved. Since no patches are currently available, affected systems remain vulnerable until Red Hat issues a fix.
Mitigation Recommendations
No official fix or patch is currently available for these vulnerabilities. Users should monitor Red Hat's security advisories for updates and apply patches promptly once released. Until then, consider limiting exposure of the affected software to untrusted inputs and networks to reduce risk. Follow Red Hat's guidance and contact Red Hat Product Security for further assistance if needed.
Red Hat Security Advisory: Red Hat AI Inference Server Model Optimization Tools 3.3.5 (CUDA)
Description
Multiple security vulnerabilities have been identified in Red Hat AI Inference Server Model Optimization Tools 3.3.5 (CUDA). These vulnerabilities cover a range of common weakness enumerations including code injection, deserialization issues, integer overflow, and others. No official fix or patch has been provided yet by Red Hat. The advisory lists 17 CVEs associated with this product. The severity is assessed as high based on the nature of the vulnerabilities and the advisory classification.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
Red Hat AI Inference Server Model Optimization Tools 3.3.5 (CUDA) is affected by multiple security vulnerabilities identified under CVE-2025-14926 and 16 additional CVEs. These vulnerabilities involve various CWEs such as CWE-94 (Code Injection), CWE-502 (Deserialization of Untrusted Data), CWE-190 (Integer Overflow), CWE-78 (OS Command Injection), and others, indicating a broad spectrum of potential security issues. The Red Hat advisory RHSA-2026:30078 acknowledges these vulnerabilities but does not currently provide any fixes or patches. The product is not a cloud service, so remediation depends on vendor updates. No known exploits in the wild have been reported at this time.
Potential Impact
The vulnerabilities collectively pose a high risk to systems running Red Hat AI Inference Server Model Optimization Tools 3.3.5 (CUDA). Potential impacts include unauthorized code execution, privilege escalation, denial of service, and other security breaches depending on the specific CWE involved. Since no patches are currently available, affected systems remain vulnerable until Red Hat issues a fix.
Mitigation Recommendations
No official fix or patch is currently available for these vulnerabilities. Users should monitor Red Hat's security advisories for updates and apply patches promptly once released. Until then, consider limiting exposure of the affected software to untrusted inputs and networks to reduce risk. Follow Red Hat's guidance and contact Red Hat Product Security for further assistance if needed.
Technical Details
- Gcve Source
- db.gcve.eu
- Csaf Category
- csaf_security_advisory
- Csaf Version
- 2.0
- Publisher
- Red Hat Product Security
- Advisory Id
- RHSA-2026:30078
- Cve Count
- 17
- Additional Cves
- ["CVE-2025-14927","CVE-2025-14928","CVE-2025-14930","CVE-2026-4775","CVE-2026-4786","CVE-2026-4878","CVE-2026-6100","CVE-2026-10118","CVE-2026-34588","CVE-2026-34982","CVE-2026-35385","CVE-2026-37555","CVE-2026-39979","CVE-2026-40164","CVE-2026-44431","CVE-2026-44432"]
- Cvss Version
- null
Threat ID: 6a3de72f4853345fc112828c
Added to database: 06/26/2026, 02:42:55 UTC
Last enriched: 06/26/2026, 02:46:10 UTC
Last updated: 06/26/2026, 03:22:24 UTC
Views: 4
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